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Multi-Dimensional Activity Cliff Analysis
Martin slater, Director Consulting
© Cresset
Finding the critical points in your SAR
Activity Cliffs in 3D from Activity Miner
© Cresset
Activity Cliffs
> Many names:
> Disparity (Merck 1990s)
> SALI (Guha/Drie 2008)
> Activity Landscapes
> Activity Cliffs
> For each pair of molecules
𝐴𝐴𝑐𝑐𝑐𝑐1 − 𝐴𝐴𝑐𝑐𝑐𝑐2
𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎12
> Usually distance = 1 – similarity
> Similarity in 2D
3
© Cresset
Where 2D similarity causes problems
> Bioisosteres – low 2D similarity but biologically
similar
> Enantiomers and Chirality
> Locality issues
Fingerprint locality (ECFP4 sim=1.0)
N
N
O
Cl
O
Cl N
N
N
O
O
N
O
O
O
O
N
N
NN
4
© Cresset
Using 3D molecular similarity
> 2D metrics are easy: 1:1 map to topology
> 3D is defined for conformers, not for molecules
0.66
0.92
5
© Cresset
Context required for 3D similarity
> Need context for 3D similarity – bound to the
protein
> Align all molecules in the active site
> Ligand view of alignment more informative than a
protein view?
N
N
S
N
O
O
N
N
S
N
O
O
N
N
S
N
O
O
N
N
S
N
O
O
N
N
S
N
O
O
Protein ‘view’
of alignment
Ligand ‘view’
of alignment
Signal
N
O
N
6
© Cresset
3D disparity in Forge’s Activity Miner
1. Generate conformers
2. Align to reference(s)
3. Calculate similarity matrix on aligned
conformations
> Allow small movements
4. Calculate disparity matrix from similarity
numbers
> Similarity cutoff of 0.95 (Distance cutoff of 0.05)
5. Visualise
> Difficult – 100 molecules gives 4950 pairs!
𝐴𝐴𝑐𝑐𝑐𝑐1 − 𝐴𝐴𝑐𝑐𝑐𝑐2
𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎12
© Cresset
Top Pairs
Highest Disparity Pairs Resort on any column
© Cresset
Disparity Matrix
Click to cell to send
to 3D window
Molecules
Molecules
Coloured by Disparity
Strong colours  SAR
Sortable table
© Cresset
Activity View
Ten Nearest
Compounds,
height = distance
Shade = Disparity
Strong colours = Strong SAR
Current Focus
Compound
Comparator compound
10
© Cresset
Fields Electrostatic Environment
11
© Cresset
Field Differences Inform Decisions
Difference plot – Regions where each molecule has stronger electrostatics
12
© Cresset
Detailed Electrostatics decode SAR
Has an effect here
Also has an effect here!
Difference plot – Regions where each molecule has stronger electrostatics
13
© Cresset
Selectivity Cliffs
> Selectivity often as important as potency
> Look at what structural changes caused large
changes in selectivity
> Now our visualisation problems are even worse!
𝜅𝜅 ≈
∆ 𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆
∆ 𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆
=
𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝛽𝛽
𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝑎𝑎
𝐴𝐴
−
𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝛽𝛽
𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝑎𝑎
𝐵𝐵
1 − 𝑆𝑆𝑆𝑆 𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆
14
© Cresset
Visualising Selectivity Cliffs
15
© Cresset
Activity View
Red/Green = ↓ pKiβ, ↑ pKiα
→ PI3Kα selective
16
© Cresset
Selectivity matrices
Red = ↓ pKiβ
Green = ↑ pKiα
→ more α selective
GDC-0941
pKiα = 9.06
pKiβ= 8.02
6
pKiα = 9.06
pKiβ= 7.02
Sim 0.90
17
© Cresset
Why?
18
© Cresset
More Electrostatic Differences
> Explain changes in selectivity (how does an
indazole compare to a 2-aminopyrimidine?)
α/β=8.05/8.3 α/β=7.3/5.9
19
© Cresset
Conclusions
> Activity Cliff/Disparity analysis provides quick insights
into SAR
> Focus on understanding the reason for a cliff
> Drive design decisions
> Multiple ways to navigate the data
> Compound focus > Most significant changes
> Global overview > Cluster analysis
> 2D and 3D both useful
> 2D provides insights into conformational changes
> 3D provides insights into electrostatic effects
> Visualising multiple activities simultaneously allows
selectivity analysis
20
© Cresset
Acknowledgements
> Andy Vinter
> Founder Cresset
> Tim Cheeseright
> Director of products
> Rae Lawrence
> North America sales and support
> Nigel Palmer
> Developer
21
© Cresset
> 3D Activity Cliffs available in Activity Miner module for
Forge and Torch
3D Activity Cliffs
3D Design tool, SAR interpretation
SAR interpretation & Activity Cliffs, 3D Design,
3D QSAR, Pharmacophore modeling
22
© Cressetsmarter chemistry | smarter decisions
Thank you!
mark@cresset-group.com
Follow Cresset
Questions Welcomed
23

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Selectivity mining – multiple activities in Activity Miner

  • 1. Multi-Dimensional Activity Cliff Analysis Martin slater, Director Consulting
  • 2. © Cresset Finding the critical points in your SAR Activity Cliffs in 3D from Activity Miner
  • 3. © Cresset Activity Cliffs > Many names: > Disparity (Merck 1990s) > SALI (Guha/Drie 2008) > Activity Landscapes > Activity Cliffs > For each pair of molecules 𝐴𝐴𝑐𝑐𝑐𝑐1 − 𝐴𝐴𝑐𝑐𝑐𝑐2 𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎12 > Usually distance = 1 – similarity > Similarity in 2D 3
  • 4. © Cresset Where 2D similarity causes problems > Bioisosteres – low 2D similarity but biologically similar > Enantiomers and Chirality > Locality issues Fingerprint locality (ECFP4 sim=1.0) N N O Cl O Cl N N N O O N O O O O N N NN 4
  • 5. © Cresset Using 3D molecular similarity > 2D metrics are easy: 1:1 map to topology > 3D is defined for conformers, not for molecules 0.66 0.92 5
  • 6. © Cresset Context required for 3D similarity > Need context for 3D similarity – bound to the protein > Align all molecules in the active site > Ligand view of alignment more informative than a protein view? N N S N O O N N S N O O N N S N O O N N S N O O N N S N O O Protein ‘view’ of alignment Ligand ‘view’ of alignment Signal N O N 6
  • 7. © Cresset 3D disparity in Forge’s Activity Miner 1. Generate conformers 2. Align to reference(s) 3. Calculate similarity matrix on aligned conformations > Allow small movements 4. Calculate disparity matrix from similarity numbers > Similarity cutoff of 0.95 (Distance cutoff of 0.05) 5. Visualise > Difficult – 100 molecules gives 4950 pairs! 𝐴𝐴𝑐𝑐𝑐𝑐1 − 𝐴𝐴𝑐𝑐𝑐𝑐2 𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝐷𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎12
  • 8. © Cresset Top Pairs Highest Disparity Pairs Resort on any column
  • 9. © Cresset Disparity Matrix Click to cell to send to 3D window Molecules Molecules Coloured by Disparity Strong colours  SAR Sortable table
  • 10. © Cresset Activity View Ten Nearest Compounds, height = distance Shade = Disparity Strong colours = Strong SAR Current Focus Compound Comparator compound 10
  • 12. © Cresset Field Differences Inform Decisions Difference plot – Regions where each molecule has stronger electrostatics 12
  • 13. © Cresset Detailed Electrostatics decode SAR Has an effect here Also has an effect here! Difference plot – Regions where each molecule has stronger electrostatics 13
  • 14. © Cresset Selectivity Cliffs > Selectivity often as important as potency > Look at what structural changes caused large changes in selectivity > Now our visualisation problems are even worse! 𝜅𝜅 ≈ ∆ 𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆 ∆ 𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆 = 𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝛽𝛽 𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝑎𝑎 𝐴𝐴 − 𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝛽𝛽 𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝑎𝑎 𝐵𝐵 1 − 𝑆𝑆𝑆𝑆 𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆𝑆 14
  • 16. © Cresset Activity View Red/Green = ↓ pKiβ, ↑ pKiα → PI3Kα selective 16
  • 17. © Cresset Selectivity matrices Red = ↓ pKiβ Green = ↑ pKiα → more α selective GDC-0941 pKiα = 9.06 pKiβ= 8.02 6 pKiα = 9.06 pKiβ= 7.02 Sim 0.90 17
  • 19. © Cresset More Electrostatic Differences > Explain changes in selectivity (how does an indazole compare to a 2-aminopyrimidine?) α/β=8.05/8.3 α/β=7.3/5.9 19
  • 20. © Cresset Conclusions > Activity Cliff/Disparity analysis provides quick insights into SAR > Focus on understanding the reason for a cliff > Drive design decisions > Multiple ways to navigate the data > Compound focus > Most significant changes > Global overview > Cluster analysis > 2D and 3D both useful > 2D provides insights into conformational changes > 3D provides insights into electrostatic effects > Visualising multiple activities simultaneously allows selectivity analysis 20
  • 21. © Cresset Acknowledgements > Andy Vinter > Founder Cresset > Tim Cheeseright > Director of products > Rae Lawrence > North America sales and support > Nigel Palmer > Developer 21
  • 22. © Cresset > 3D Activity Cliffs available in Activity Miner module for Forge and Torch 3D Activity Cliffs 3D Design tool, SAR interpretation SAR interpretation & Activity Cliffs, 3D Design, 3D QSAR, Pharmacophore modeling 22
  • 23. © Cressetsmarter chemistry | smarter decisions Thank you! mark@cresset-group.com Follow Cresset Questions Welcomed 23